🧑‍🔬 Dandan Tu

🏛️ Affiliations

🏢Huawei TechnologiesShenzhen · China2018–2026 · 10 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2009–2014 · 3 papers🔬Institute of Computing TechnologyBeijing · China2010–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering (2026 · 4 citations)
   Large language models and vision-language models reason noticeably worse in non-English languages, especially low-resource ones such as Thai and Swahili.
2. Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation (2026 · 2 citations)
   LLMs translate general text well, but little is known about how they handle culturally loaded content. The authors build CanMT, a parallel benchmark drawn from classic novels and their professional translations. It covers 12 directions among English, Chinese, Japanese, Spanish and Russian.
3. x1: Learning to Think Adaptively Across Languages and Cultures (2026 · 1 citation)
   Most reasoning LLMs think mainly in one dominant language, usually English, even when a question is posed in another language or depends on a specific culture.
4. MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models (2026)
   Most existing causal benchmarks for LLMs use everyday commonsense scenarios with short, single-hop cause–effect links.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Qiming Li, Xiaocheng Feng, Yixuan Ma, et al.2026 · 4 citations
2. Culture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citations
3. x1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citation
4. MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language ModelsFindings of the Association for Computational LinguisticsPeng Wang, Yuxiong Yan, Xiao Ding, et al.2026
5. TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYirong Zeng et al.2026

🤝 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

• Bing Qin ×3
• Xiaocheng Feng ×3
• Yunfei Lu ×3
• Qichen Hong ×2
• Xiachong Feng ×2
• Yangfan Ye ×2
• Zekun Yuan ×2
• Bibo Cai
• Chao Peng
• Kai Xiong
• Lei Huang
• Libo Qin

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×2
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

🔗 Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

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